With the advantages of easy deployment and flexible usage, unmanned aerial vehicle (UAV)
has advanced the multitarget tracking (MTT) applications. The UAV-MTT system has great …

Distributed optimization consists of multiple computation nodes working together to minimize
a common objective function through local computation iterations and network-constrained …

Most approaches to multi-robot control either rely on local decentralized control policies that
scale well in the number of agents, or on centralized methods that can handle constraints …

This article proposes two decentralized multiagent optimal control methods that combine the
computational efficiency and scalability of differential dynamic programming (DDP) and the …

Over the last decades, researchers have studied the Multi-Objective Optimization (MOO)
problem for Multi-Agent Systems (MASs). However, most of them consider the problem …

In this section, we introduce some prerequisites on covariance steering and ADMM. First, we
define the notation that we follow throughout the paper. Next, we present the single-agent …

The path planning and tracking problem of the multi-robot system (MRS) has always been a
research hotspot and applied in various fields. In this article, a novel multi-robot path …

We present a distributed conjugate gradient method for distributed optimization problems,
where each agent computes an optimal solution of the problem locally without any central …

This paper considers the multi-agent persistent monitoring problem defined on a network
(graph) of nodes (targets) with independent uncertain states. The agent team's goal is to …

In this article, we propose a distributed adversarial decision-making approach for multiagent
system (MAS), which is supposed to detect a team of intelligent targets. The MAS is …